Paths

Adobe Analytics for Developers

Adobe Analytics is a data driven software solution used to track the performance of web properties and mobile applications. It’s important because brands need accurate data to make strategic business decisions. Adobe Analytics is used by marketers and analysts to gain real-time customer intelligence.... Read moreRead less

Adobe Analytics Fundamentals

Description

Adobe Analytics is an essential part of truly understanding the benefits of web analytics. In this course, Adobe Analytics Fundamentals, you will learn how to generate reports in Adobe Analytics to help answer your business questions. Next, you'll explore the multiple reasons why you need analytics. By the end of this course, you'll know about how data is collected, and have learned how to analyze metrics and segmentation. Software required: Adobe Analytics.

Table of contents

Course Overview

52s

Why Web Analytics?

18m 46s

Reports & Analytics Interface

22m 11s

Metrics

32m 21s

Visitor Acquisition

32m 1s

Visitor Identification & Segmentation

12m 40s

2

Adobe Analytics Building on the Fundamentals

Description

Understanding the full potential of your digital analytics solution can bring you opportunities for optimization that you never knew existed. In this course, Adobe Analytics Building on the Fundamentals, you will learn about the most essential pieces of Adobe Analytics which will allow you to be the most effective with reporting and analysis on your website. First, you will learn about all of the reports in Adobe Analytics and how you can best utilize them for your website's needs. Next, you'll learn how to build calculated metrics so you can manipulate your data without having to change your implementation. Lastly, you will learn how to create and use segments in order to perform very focused analysis. When you're finished with this course, you'll have the skills and knowledge in Adobe Analytics to execute powerful reporting and analysis on your website. Software Required: Adobe Analytics.

Table of contents

Course Overview

1m 19s

Visitor Activity and Content Consumption

35m 26s

Visitor Retention and Growth and Understanding Reports and Analytics Graphs

24m 10s

Calculated Metrics and Report Breakdowns

15m 57s

Segmentation

23m 3s

Adding Context: Targets, Calendar Events, and Alerts

35m 54s

Saving and Distributing Reports

13m 32s

3

Adobe Analytics Implementation Fundamentals

Description

Adobe Analytics is a window into what your customers do, want, need and believe! It's a tool to guide the experiences that matter. In this course, Adobe Analytics Implementation Fundamentals, you will be empowered with the industry best-practices when it comes to designing and coding a robust implementation of Adobe Analytics. First, you will get an overview of the necessary implementation tools. Next, you will be shown how to configure your global analytics setting. Finally, you will learn to code customized variables to enable profound insights of your customers using Adobe Analytics. By the end this course, you will have a solid foundation to get started implementing Adobe Analytics from scratch. Software required: Adobe Analytics.

Adobe Analytics Analysis Workspace

Description

In this course, Adobe Analytics Analysis Workspace, you're going to uncover everything you need to know about Analysis Workspace. You're going to learn to build projects using the panels and components available in Analysis workspace. Then, you'll learn to create beautiful visualizations of data, and explore how you can create complex segments and metrics using the segment builder and the metric builder. Finally, you'll learn to share and distribute your projects with others. By the end of this course, you'll feel confident to start using Analysis Workspace in your own work. Software Required: Adobe Analytics.

Table of contents

Course Overview

1m 7s

Introduction to Analysis Workspace

16m 13s

Building a Project with Panels and Components

34m 36s

Date Range Builder and Visualizations

26m 12s

Segment Builder

32m 18s

Calculated Metric Builder and Distributing Reports

14m 42s

5

Adobe Analytics Implementation Intermediate

Description

At the core of implementing Adobe Analytics is a thorough knowledge of conversion metrics, conversion variables, product merchandising and campaign tracking. In this course, Adobe Analytics Implementation Intermediate, you'll learn the skills you need to implement these features of Adobe Analytics on your website. First, you'll explore how to implement conversion metrics and variables using JavaScript. Next, you'll discover how to configure these in Adobe Analytics Admin. Finally, you'll learn how to use product and conversion variable syntax for product merchandising. When you're finished with this course, you'll have an intermediate knowledge of Adobe Analytics Implementation that will help you reveal more granular insight about your website visitors. Software required: Adobe Analytics.

Table of contents

Course Overview

1m 35s

Predefined and Custom Events

14m 45s

Conversion Variables

19m 12s

The Purchase Confirmation Page

11m 14s

The Campaign Variable

12m 39s

Custom Conversion Variables

23m 59s

Advanced

In this advanced section, you'll learn to analyze multiple data sources, customize all user settings, and create advanced reports such as Anomaly Detection.

6

Adobe Analytics Implementation Advanced

Description

Have you ever been worried that you aren't fully utilizing Adobe Analytics for your website? If so, you know how important it is for you to have a good, clean implementation, which will will help you optimize your website. In this course, Adobe Analytics Implementation Advanced, you will first learn about ways to manipulate your data through plug-ins and other tools. Next, you will learn how to use and create processing rules which allow you to simplify data collection. Finally, you will learn about classifications and other data export tools, as well as best practices to help you fully take advantage of Adobe Analytics through proper implementation. Once you're finished with this course, you'll not only be a master of implementing Adobe Analytics, but you'll have the expertise and skills to make useful decisions regarding your web data. Software required: Adobe Analytics.

Table of contents

Course Overview

1m 28s

Data Manipulation Components

14m

Processing Rules

19m 45s

Mobile Tracking

5m 29s

Site-based Implementation Considerations

14m 33s

Data Import Tools

49m 10s

Data Export Tools

11m 4s

Validation, Troubleshooting, and Best Practices

21m 37s

7

Adobe Analytics Dynamic Tag Management

Description

Want to take control of your Adobe Analytics implementation by utilizing Adobe's Dynamic Tag Manager? In this course, Adobe Analytics Dynamic Tag Management, you'll learn how to reduce dependencies on your IT or front-end engineering resources, and develop an understanding of what you're getting with your reporting in Adobe's Dynamic Tag Manager. First, you'll explore how to setup your DTM web property. Then, you'll discover how to create and manage data elements. Finally, you'll cover how to trigger different rule types to get the reporting you need. By the end of this course, you'll have the necessary knowledge to get up and run with your own instance of DTM, and start building more custom reports that are tailored to fit to your organization. Software required: Adobe Analytics.

Table of contents

Course Overview

1m 22s

Manage Your Tags

14m 21s

Debugging

8m 25s

DTM Setup

14m 42s

Date Elements

18m 48s

Adobe Analytics Tool Setup

16m 46s

Rules

27m 5s

Additional Tools Setup

14m 15s

What you will learn:

How to use Dynamic Tag Management to integrate Analytics to web properties and mobile apps

How to set rules and Data Elements for web properties

How to create a report suite and Analysis Workspace Group and set user permissions

How to connect to Data Sources

How to build an Analysis Workspace project with dimensions, metrics, segments, date ranges, and visualizations

How to create and manage report dashboards and reportlets

How to use Virtual Report Suite

How to discover additional tools available in Analytics that can supercharge data analysis and reporting

Pre-requisites

It is recommended that you have a basic understanding of HTML, Javascript, Java, PHP, and APIs. Experience with data analysis and reporting is also recommended.

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